According to the latest news exposed by Android developer Dylan Russell on the X platform, Google is planning to launch two major solutions, Gemini Enterprise and Gemini Business, to provide Google Workspace users with access to Gemini Ultra 1.0 and enterprise-level data protection capabilities. It is reported that the core of these two plans is to ensure that conversations or enterprise data are not used for training when using the Gemini model. This commitment aims to provide enterprises with a secure and reliable working environment, enabling them to confidently utilize Gemini. In addition, administrators will be able to easily manage Gemini settings through the Google Workspace admin console. In the recently released Gemini Advanced version, users have welcomed an exciting new feature: they can now directly edit and run Python code snippets in the Gemini user interface. This feature not only provides users with a platform for experimenting with code, allowing them to intuitively observe how code changes affect output, but also helps them verify that the code works as expected. This innovative feature is significant for different user groups. For students, they can use this feature to experiment with various code examples, gaining a deeper understanding of how code modifications affect output. For developers, they can directly validate the functionality of generated code within Gemini, saving a lot of time and ensuring the reliability of the code before implementation. It is worth mentioning that Google recently released the high-performance Gemini 1.5 model. The performance of this new model has surpassed ChatGPT and Claude, with an astonishing context window of 1 million tokens, which is unprecedented in the field of natural language processing models. In comparison, GPT-4 Turbo has a context window of 128K, and Claude 2.1 has a context window of 200K. This breakthrough progress undoubtedly attracts more attention and praise for the Gemini series models.